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# =================== Lord Of Large Language Multimodal Systems Configuration file ===========================
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version: 144
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version: 145
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# video viewing and news recovering
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last_viewed_video: null
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@ -280,7 +280,8 @@ audio_silenceTimer: 5000
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# Data vectorization
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rag_databases: [] # This is the list of paths to database sources. Each database is a folder containing data
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rag_vectorizer: semantic # possible values semantic, tfidf, openai
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rag_vectorizer: semantic # possible values semantic, tfidf, openai, ollama
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rag_service_url: "http://localhost:11434" # rag service url for ollama
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rag_vectorizer_model: "BAAI/bge-m3" # The model name if applicable
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rag_vectorizer_parameters: null # Parameters of the model in json format
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rag_chunk_size: 512 # number of tokens per chunk
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Subproject commit 82e10f2ecabca34a4a458369d4a86e607e9d7976
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Subproject commit b515a3864510532c83f5f8c5bf4dce6e16d9fe0f
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web/dist/index.html
vendored
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web/dist/index.html
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<script src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js"></script>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>LoLLMS WebUI</title>
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<script type="module" crossorigin src="/assets/index-98J5TYdO.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-VVi1JRr7.css">
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<script type="module" crossorigin src="/assets/index-Cpa1zAgm.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-Dglf9xkw.css">
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</head>
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<body>
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<div id="app"></div>
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<option value="semantic">Semantic Vectorizer</option>
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<option value="tfidf">TFIDF Vectorizer</option>
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<option value="openai">OpenAI Vectorizer</option>
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<option value="ollama">Ollama Vectorizer</option>
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</select>
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</td>
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</tr>
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:disabled="configFile.rag_vectorizer === 'tfidf'"
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>
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<!-- Semantic Vectorizer Models -->
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<option v-if="configFile.rag_vectorizer === 'semantic'" value="BAAI/bge-m3">BAAI/bge-m3</option>
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<option v-if="configFile.rag_vectorizer === 'semantic'" value="sentence-transformers/all-MiniLM-L6-v2">sentence-transformers/all-MiniLM-L6-v2</option>
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<option v-if="configFile.rag_vectorizer === 'semantic'" value="sentence-transformers/all-MiniLM-L12-v2">sentence-transformers/all-MiniLM-L12-v2</option>
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<option v-if="configFile.rag_vectorizer === 'openai'" value="text-embedding-curie-001">text-embedding-curie-001</option>
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<option v-if="configFile.rag_vectorizer === 'openai'" value="text-embedding-davinci-001">text-embedding-davinci-001</option>
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<!-- Semantic Vectorizer Models -->
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="bge-m3">bge-m3</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="nomic-embed-text">nomic-embed-text</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="mxbai-embed-large">mxbai-embed-large</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="mxbai-embed-large">mxbai-embed-large</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="snowflake-arctic-embed">snowflake-arctic-embed</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="snowflake-arctic-embed">snowflake-arctic-embed</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="all-minilm">all-minilm</option>
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<option v-if="configFile.rag_vectorizer === 'ollama'" value="bge-large">bge-large</option>
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<!-- Disabled Option for TFIDF -->
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<option v-if="configFile.rag_vectorizer === 'tfidf'" disabled>No models available for TFIDF</option>
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</select>
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</td>
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</tr>
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<tr>
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<td style="min-width: 200px;">
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<label for="rag_service_url" class="text-sm font-bold" style="margin-right: 1rem;">Rag service url:</label>
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</td>
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<td>
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<input v-model="configFile.rag_service_url">
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</td>
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</tr>
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<tr>
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<td style="min-width: 200px;">
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<label for="rag_vectorizer_openai_key" class="text-sm font-bold" style="margin-right: 1rem;">Open AI key for open ai embedding method (if not provided I'll use OPENAI_API_KEY environment variable):</label>
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Subproject commit a9b1c93c299b21798a09acdcce6e2206ac478050
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Subproject commit e071323fbb926c82b92a725cef5a691aea639c3e
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